Health protection – with Nature hand in hand
OUR MISSIONS & GOALS
Our mission statement and our pledge for our users, collaborators and investors:
Biomed Protection is a company dedicated to protect human and animal health. Our efforts are aimed at developing strategies for a longer and healthier life. These goals will be achieved by bringing the basic principles of Nature, established for living organisms during millions of years of the evolution, to the everyday life.
Our goal is:
- to become the first company to fully implement the concept of the long-range molecular interactions in protection and improvement of the human health.
Some of our near-term milestones are:
- to discover new therapeutic targets for infectious diseases and cancer and help develop new generation of drugs and vaccines, which are effective against multi-drug resistant pathogens and cancer cells
- to help people improve their health by adjusting their lifestyle in accord with the basic principles of Nature.
Molecular descriptors AQVN and EIIP are used to determine the basic physico-chemical properties of nutrients and to establish the first molecular-based recommendations for healthy diet. Based on these results an App which helps in planning of the healthy eating was developed.
Numerous population and clinical studies confirmed protective effect of physical activity against breast and prostate cancer and HIV disease but the molecular mechanisms of this phenomenon remained elusive. The MS-based bioinformatics tool was used for study of modulation of the immune system by physical activity. Possible molecular mechanism underlying protective effect of physical exercise against cancer and HIV disease was proposed (Veljkovic et al. Scand J Med Sci Sports 2-10;20:469, Veljkovic et al. Med Hypotheses 2011;77:404, Veljkovic et al. PLOS One 2011;6:e28304).
Our latest publications
Veljkovic V, Vergara-Alert J, Segalés J, Paessler S. Use of the informational spectrum methodology for rapid biological analysis of the novel coronavirus 2019-nCoV: prediction of potential receptor, natural reservoir, tropism and therapeutic/vaccine target. F1000Research. Apr 2020;9.
Veljkovic V, Paessler S. COVID-19 Orf3b protein: the putative biological function and the therapeutic target. Preprint Feb 2020. DOI: 10.21203/rs.2.24483/v1
Sencanski M, Perovic V, Pajovic S, Adzic M, Paessler S, Glisic S. Drug Repurposing for Candidate SARS-CoV-2 Main Protease Inhibitors by a Novel in Silico Method. ChemRXiv, May 2020.
Bioinformatics tools based on the MS concept allows study of pathogens using ONLY primary structure of their protein and DNA components. This unique feature of the MS-based bioinformatics approach allows analysis (e.g. host-pathogen interaction, assessment of biological effect of mutations, functional phylogenetic analysis, identification of therapeutic and vaccine targets, etc.) and characterization of new and emerging pathogens immediately after their isolation.
(i) first ever reported CD4 binding site of HIV-1 gp120 was published 1988 (article Veljkovic V. & Metlas R. Cancer Biochem Biophys. 1988;10:91 is among first 2% of 309901 HIV articles ever published (PubMed assessed on November 2016); (ii) analysis of mutations of pandemic pH1N1 influenza virus and identification of the candidate vaccine determinant was published during the first month of 2009 pandemic (article Veljkovic et al. BMC Struct, Biol. 2009;9:62 was submitted in June 2009); (iii) analysis of host-Ebola virus interaction and identification of candidate therapeutic target were published during the first month of the Ebola 2015 outbreak in West Africa (article Veljkovic et al. Front. Microbiol. 2015;9:6 was submitted in January 2015); candidate vaccine for Zika virus was proposed in the first month of the large outbreak in Brazil (article Veljkovic et al. F1000Research 2016;4:104 was published in May 2016).
The MS-based bioinformatics tool also is useful in early identification of candidate pandemic/epidemic pathogens (Perovic et al. PLOS One 2013;8:e61572, Veljkovic et al. PLOS One 2016;11;e165451) and selection of the conserved antigens for vaccines against highly variable pathogens Veljkovic et a. BMC Struct. Biol. 2009;9:21, Vergaras-Alert et al, PLOS One 2012;7:e40524). Molecular descriptors AQVN and EIIP served as a base for the general rule for selection of antibiotic combinations against multi-drug resistant bacteria (Veljkovic et al. Discoveries 2016;4:e64, doi:10,15190/d.2016.11).
The MS-based tool is useful for study of pathogenic molecular pathways associated with chronic diseases.
(i) analysis of interaction of antibodies induced with the influenza vaccine with bradykinin pathway opened possibility for development of vaccine against cardiovascular diseases (Veljkovic et al. Vaccine 2014;32:6569); (ii) the structure/function analysis of lipoprotein lipase performed with the MS-base tool allowed development of the criterion for assessment of mutations as the risk factor for cardiovascular diseases (Glisic et al. Proteins 2008;70:855); (iii) the MS concept was used for study of molecular mechanisms underlying pathophysiological processes of neurocardiovascular syndromes and discovery of therapeutics targets for their treatment (Bojic et al. Front. Neurosci. 2016;9:520); (vi) study of interaction between VIP receptors and natural anti-VIP antibodies served as a base for development of the prognostic ELISA test for breast and prostate cancer (Veljkovic et al. PLOS One 2011;6:e28304).
Electronic Biology & AI
Biomed Protection is the first company to fully implement the concept of Electronic Biology (the subatomic biology) in protection and improvement of human and animal health.
We have developed a BP-Discovery platform based on electronic biology for the study of biological molecules (the protein-protein and protein-DNA
interactions, functional mapping of proteins and DNA sequences, assessment of the biological effect of mutations, de novo design of peptides and proteins, analysis of functional evolution of proteins and genes and selection of small molecules with defined pharmacological properties). This unique bioinformatics tool allows
the study of the properties of biological molecules without any prior experimental knowledge.
With the integration of Electronic Biology, Artificial Intelligence, Deep Learning and Machine Learning technologies we are developing prediction models and software for solving emerging topics in bioinformatics (automated prediction of protein-protein interactions, annotations between genes/proteins and human phenotype ontology terms and gene ontology terms annotations in domains of molecular function, biological process and cellular component).
Our efforts are aimed at developing strategies based on “Electronic Biology” for longer and healthier life. Biomed Protection's commitment to life-prolonging preventive measures for patients is also demonstrated by the effort to advance our wEB Flu Platform to obtain real-time data in functional genetic changes of influenza A viruses and so assist in better vaccine design and prediction of vaccine efficacy. We are currently developing a platform for antigen design and monitoring of human Coronaviruses, including SARS-CoV-2 that causes COVID-19.
Our top rated publications
Veljkovic V, Goeijenbier M, Glisic S, Veljkovic N, Perovic VR, Sencanski M, Branch DR, Paessler S. In silico analysis suggests repurposing of ibuprofen for prevention and treatment of EBOLA virus disease. F1000Res. 2015;4:104.
Veljkovic V, Glisic S, Veljkovic N, Bojic T, Dietrich U, Perovic VR, Colombatti A. Influenza vaccine as prevention for cardiovascular diseases: Possible molecular mechanism. Vaccine 2014; 32:6569.